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The Innovative Teaching for Effective Learning (ITEL) Teacher Knowledge Survey is the first international study to explore the nature, function and development of teachers’ pedagogical knowledge, i.e. what teachers know about teaching and learning.

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Teaching is a demanding profession. Teachers are responsible for developing the skills and knowledge of their students, helping them overcome social and emotional hurdles and maintaining equitable, cohesive and productive classroom environments. On top of their teaching responsibilities, they are also expected to engage in continued professional development activities throughout their careers.

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New Delhi, India, 8-9 November 2017. This symposium looked at how to implement effective financial education policies in a changing financial landscape with a focus on financial education in the digital age.

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This report identifies effective strategies to tackle skills imbalances in France. It provides an assessment of practices and policies in the following areas: the collection and use of information on skill needs to foster a better alignment of skills acquisitions with labour market needs; policies stimulating skills demand and skills use; policies related to general and professional education and training; policies to help the unemployed develop the right skills and better match them to jobs; career guidance initiatives; and policies facilitating the entry of migrants with skills that are in demand. The assessment is based on country visits, desk research and data analysis conducted by the OECD secretariat.

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Solving unfamiliar problems on one’s own is important, but in today’s increasingly interconnected world, people are often required to collaborate in order to achieve their goals. Teamwork has numerous benefits, from a diverse range of opinions to synergies among team members, and assigning tasks to those who are best suited to them.

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Late next month (21 November, to be exact) we’ll be releasing the results PISA’s first-ever assessment of students’ ability to solve problems collaboratively. Why has PISA focused on this particular set of skills? Because in today’s increasingly interconnected world, people are often required to collaborate in order to achieve their objectives, both in the workplace and in their personal lives.

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Although girls and boys perform similarly in the PISA science assessment at age 15, girls are less likely than boys to envision a career in science and engineering, even in countries where they outperform them.

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Gender biases can be persistent. Too persistent. A simple exercise to illustrate the point: Picture a doctor or a professor. You will most likely think of a man. Now think of nurses and teachers and you are likely to imagine a woman. This unconscious gender bias is rooted in years of associating male and female attributes to specific roles in society. Inevitably, it also influences students’ career choices.

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Computer scientists are working on reproducing all human skills using artificial intelligence, machine learning and robotics. Unsurprisingly then, many people worry that these advances will dramatically change work skills in the years ahead and perhaps leave many workers unemployable.

This report develops a new approach to understanding these computer capabilities by using a test based on the OECD’s Survey of Adult Skills (PIAAC) to compare computers with human workers. The test assesses three skills that are widely used at work and are an important focus of education: literacy, numeracy and problem solving with computers.

Most workers in OECD countries use the three skills every day. However, computers are close to reproducing these skills at the proficiency level of most adults in the workforce. Only 13% of workers now use these skills on a daily basis with a proficiency that is clearly higher than computers.

The findings raise troubling questions about whether most workers will be able to acquire the skills they need as these new computer capabilities are increasingly used over the next few decades. To answer those questions, the report’s approach could be extended across the full range of work skills. We need to know how computers and people compare across all skills to develop successful policies for work and education for the future.